Evaluation of Influence of Principles Involved in Industry 4.0 Over Coal Industries Using TISM

Evaluation of Influence of Principles Involved in Industry 4.0 Over Coal Industries Using TISM

Bathrinath Sankaranarayanan (Kalasalingam University, India), Rahul K. (Rajalakshmi Engineering College, India), Pradeep J. (Rajalakshmi Engineering College, India), S. G. Ponnambalam (University Malaysia Pahang, Malaysia) and Saravanasankar S. (Kalasalingam University, India)
DOI: 10.4018/978-1-5225-9078-1.ch010
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Coal is the major source of energy in the world. But, the process of extraction and use of coal has adverse effects on the environment. In this chapter, the authors try to reduce these effects by considering the principles and technologies involved in Industry 4.0, also known as the Fourth Industrial Revolution. From a few expert reviews and research works, eight crucial factors were taken into account and were analyzed. The eight factors are consumer, water resources, smart transportation, smart factory, smart grid, smart mining, smart home, and renewable energy. The analysis has been made using the total interpretive structural modeling (TISM) method. The model distinctly demonstrates the influence of the principles of Industry 4.0 over coal industries. This chapter also aims to pave the way for future research and tries to contribute towards the sustainable extraction and usage of coal in energy industries. Consumer plays the most influential role in this regard.
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Literature Review

Literature review is classified into eight sections namely (i) Smart Transportation (ii) Smart Factory (iii) Smart Mining (iv) Consumer satisfaction (v) Water Resource (vi) Smart Grid (vii) Smart home (viii) Renewable Energy . They are detailed as follows:

Smart Transportation

Managing an industry’s transportation system using various information and communication technologies in an effective manner is called smart transportation (Stefannson & Lumsden 2008). In the case of electric vehicles, based on the service requirements, charging stations are set up and programmed for the effective recharge of electric vehicles. The intelligent system also minimizes waiting period and cost (Kim et al., 2010).

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